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Research Article | Open Access |

Modifications of Particle Swarm Optimization Techniques and Its Application on Stock Market: A Survey

Author 1: Razan A. Jamous Author 2: EssamEl.Seidy Author 3: Assem A. Tharwat Author 4: Bayoumi Ibrahim Bayoum
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 6, No. 3 · Published 2015 · Cited by 14

DOI: https://doi.org/10.14569/IJACSA.2015.060315

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Abstract

Particle Swarm Optimization (PSO) has become popular choice for solving complex and intricate problems which are otherwise difficult to solve by traditional methods. The usage of the Particle Swarm Optimization technique in coping with Portfolio Selection problems is the most important applications of PSO to predict the stocks that have maximum profit with minimum risk, using some common indicators that give advice of buy and sell. This paper gives the reader the state of the art of the various modifications of the PSO and study whether had been applied over the stock market or not.

Keywords

Computational intelligence Particle Swarm Optimization modification Stock Market Portfolio Selection

How to Cite this Article

Jamous, R. A., EssamEl.Seidy, Tharwat, A. A., & Bayoum, B. I. (2015). Modifications of Particle Swarm Optimization Techniques and Its Application on Stock Market: A Survey. International Journal of Advanced Computer Science and Applications, 6(3). https://doi.org/10.14569/IJACSA.2015.060315

Jamous, Razan A., et al.. "Modifications of Particle Swarm Optimization Techniques and Its Application on Stock Market: A Survey." International Journal of Advanced Computer Science and Applications, vol. 6, no. 3, 2015, https://doi.org/10.14569/IJACSA.2015.060315.

@article{Jamous2015,
  title     = {Modifications of Particle Swarm Optimization Techniques and Its Application on Stock Market: A Survey},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {6},
  number    = {3},
  year      = {2015},
  publisher = {The Science and Information Organization},
  author    = {Razan A. Jamous and EssamEl.Seidy and Assem A. Tharwat and Bayoumi Ibrahim Bayoum},
  doi       = {10.14569/IJACSA.2015.060315},
  url       = {https://doi.org/10.14569/IJACSA.2015.060315}
}

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